{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uUecO5XzYw_i"
   },
   "source": [
    "## 578hw3_Check1_CoLab.ipynb (Spring 2024)\n",
    "### **NOTE**: This is a version for Google CoLab.\n",
    "#### Run all cells in this file with the original \"NN578_network.ipynb\" to ensure the code runs on your platform."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wnHiEX6pZu_G",
    "outputId": "72c5cdce-615c-4f41-d77f-e2d47d267b0e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "## nt: Code piece to mount my Google Drive\n",
    "from google.colab import drive\n",
    "drive.mount(\"/content/drive\") # my Google Drive root directory will be mapped here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "FEv7AacjZwqx",
    "outputId": "5fc3e890-9073-42fa-ad08-be9748ed9367"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive/My Drive/CSC578_Fall2023/HW#3\n"
     ]
    }
   ],
   "source": [
    "# nt: Change the working directory to the work directory (where the code file is).\n",
    "import os\n",
    "thisdir = '/content/drive/My Drive/CSC578_Fall2024/HW#3'\n",
    "os.chdir(thisdir)\n",
    "\n",
    "# Ensure the files are there (in the folder)\n",
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "lGaWYSexYw_t",
    "outputId": "f9fff734-9005-4fc4-df8b-6c5207314a38"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting import-ipynb\n",
      "  Downloading import_ipynb-0.1.4-py3-none-any.whl (4.1 kB)\n",
      "Requirement already satisfied: IPython in /usr/local/lib/python3.10/dist-packages (from import-ipynb) (7.34.0)\n",
      "Requirement already satisfied: nbformat in /usr/local/lib/python3.10/dist-packages (from import-ipynb) (5.10.4)\n",
      "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (67.7.2)\n",
      "Collecting jedi>=0.16 (from IPython->import-ipynb)\n",
      "  Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m13.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (4.4.2)\n",
      "Requirement already satisfied: pickleshare in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (0.7.5)\n",
      "Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (5.7.1)\n",
      "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (3.0.43)\n",
      "Requirement already satisfied: pygments in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (2.16.1)\n",
      "Requirement already satisfied: backcall in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (0.2.0)\n",
      "Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (0.1.7)\n",
      "Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.10/dist-packages (from IPython->import-ipynb) (4.9.0)\n",
      "Requirement already satisfied: fastjsonschema>=2.15 in /usr/local/lib/python3.10/dist-packages (from nbformat->import-ipynb) (2.19.1)\n",
      "Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.10/dist-packages (from nbformat->import-ipynb) (4.19.2)\n",
      "Requirement already satisfied: jupyter-core!=5.0.*,>=4.12 in /usr/local/lib/python3.10/dist-packages (from nbformat->import-ipynb) (5.7.2)\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.3 in /usr/local/lib/python3.10/dist-packages (from jedi>=0.16->IPython->import-ipynb) (0.8.4)\n",
      "Requirement already satisfied: attrs>=22.2.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=2.6->nbformat->import-ipynb) (23.2.0)\n",
      "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=2.6->nbformat->import-ipynb) (2023.12.1)\n",
      "Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=2.6->nbformat->import-ipynb) (0.34.0)\n",
      "Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=2.6->nbformat->import-ipynb) (0.18.0)\n",
      "Requirement already satisfied: platformdirs>=2.5 in /usr/local/lib/python3.10/dist-packages (from jupyter-core!=5.0.*,>=4.12->nbformat->import-ipynb) (4.2.0)\n",
      "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.10/dist-packages (from pexpect>4.3->IPython->import-ipynb) (0.7.0)\n",
      "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython->import-ipynb) (0.2.13)\n",
      "Installing collected packages: jedi, import-ipynb\n",
      "Successfully installed import-ipynb-0.1.4 jedi-0.19.1\n"
     ]
    }
   ],
   "source": [
    "# First install this library so that we can import code from other Notebooks\n",
    "!pip install import-ipynb\n",
    "import import_ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "X73HQ6nzYw_x",
    "outputId": "fea24f13-4d88-4363-b790-7b47b478c6c1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "importing Jupyter notebook from NN578_network.ipynb\n"
     ]
    }
   ],
   "source": [
    "# import the class Network from \"NN578_network_2023fall.ipynb\"\n",
    "#from ipynb.fs.defs.NN578_network_2023fall import Network as network\n",
    "import NN578_network as network_nb\n",
    "import numpy as np\n",
    "\n",
    "# Load the data (using the custom function defined in the class Notebook).\n",
    "iris_data = network_nb.my_load_csv('iris-3.csv', 4, 3)\n",
    "iris_train = iris_data[:105]\n",
    "iris_test = iris_data[105:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "T7GyVDNfYw_y",
    "outputId": "76b1c3c7-e031-4dd4-e7bd-7f40d4ff2942"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0: train acc 0.3333\n",
      "Epoch 1: train acc 0.6667\n",
      "Epoch 2: train acc 0.6667\n",
      "\n",
      "****************************************************\n",
      "!! CHECK THIS: Initial activations shape -> [(4, 1)]\n",
      "****************************************************\n"
     ]
    }
   ],
   "source": [
    "# Create a network from the saved network\n",
    "net1 = network_nb.Network.load_network(\"iris-423.dat\")\n",
    "\n",
    "# Train the network for 3 epochs, with minibatch size 8, eta=2.0 and no testset.\n",
    "net1.SGD(iris_data, 3, 8, 2.5)\n",
    "print ('\\n****************************************************')\n",
    "print ('!! CHECK THIS: Initial activations shape -> {}'.format(net1.init_acts_shape))\n",
    "print ('****************************************************')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6AwnD4dKYw_0",
    "outputId": "5e4464d0-0237-42cc-fa3b-358f887af2eb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0: train acc 0.3429, valid acc 0.3111\n",
      "Epoch 1: train acc 0.3429, valid acc 0.3111\n",
      "Epoch 2: train acc 0.6762, valid acc 0.6444\n"
     ]
    }
   ],
   "source": [
    "# Re-load the saved network and run it again.  This time using the test set.\n",
    "net2 = network_nb.Network.load_network(\"iris-423.dat\")\n",
    "net2.SGD(iris_train, 3, 8, 2.5, iris_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "MQ3F2E99dGXf"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}